{"id":"W6931695396","doi":"10.5281/zenodo.7704071","title":"Astragalus trichopodus var. lonchus Barneby, Barneby, Mem.","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stipule; Key (lock); Digital media; Astragalus","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.009317218,0.0001925819,0.0002401568,0.001081119,0.003009626,0.004120861,0.003899584,0.00006586831,0.02483958],"category_scores_gemma":[0.00870237,0.0001732075,0.0001166463,0.005126371,0.0002186473,0.0004614998,0.004480544,0.0002931529,0.1296577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001160775,"about_ca_system_score_gemma":0.000008613219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002153137,"about_ca_topic_score_gemma":6.179826e-7,"domain_scores_codex":[0.9945871,0.0007251213,0.0006421561,0.001240446,0.002132387,0.0006727934],"domain_scores_gemma":[0.9964907,0.0002799663,0.0002031589,0.00181119,0.0008731214,0.0003418599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001853001,0.0000507283,0.000006979409,0.000006847923,0.00001583996,0.00003341717,0.0004281554,0.0004494187,0.0001906446,0.003236841,0.6880054,0.3075572],"study_design_scores_gemma":[0.0004381471,0.0001096514,0.003578803,0.00001240826,0.00001007149,0.00004296657,0.0007683178,0.008627534,0.00005816488,0.002077949,0.9840775,0.0001985008],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06036011,0.0001083527,0.03129154,0.006559423,0.002429441,0.001099914,0.0006404732,0.005216997,0.8922938],"genre_scores_gemma":[0.9588655,0.00004790174,0.0005240977,0.0002910563,0.0003955724,8.255562e-8,0.001587831,0.000901168,0.0373868],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8985054,"threshold_uncertainty_score":0.9996477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1712207066969294,"score_gpt":0.3516446875770144,"score_spread":0.1804239808800851,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}